ovrcr

xlyk/ovrcr (Rust)

A new way for AI to search for data
View on GitHub
1GitHub stars

Rust, JavaScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 156aee812e (2026-10-15).

Selected work

“add owned read-only research assignments”. 25 files, 2,427 lines in crates/ovrcr-runtime, tests, crates/ovrcr-protocol.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-21. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

Example questions

The prompt

Paste it into your AI agent. It clones xlyk/ovrcr at the pinned commit and indexes it on your machine.

Search the GitHub repository xlyk/ovrcr with XERJ (https://hub.xerj.org/corpus/xlyk--ovrcr).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/xlyk/ovrcr ovrcr && git -C ovrcr checkout 156aee812e8efc4aee2675e336f5298508677936
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./ovrcr --url http://127.0.0.1:9200 --prefix ovrcr --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.